{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "o40y8HxDYE3G"
   },
   "source": [
    "# Time Series Anomaly Detection using LSTM Autoencoders with PyTorch in Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "链接：https://pan.baidu.com/s/1g6oR8JBCP06lnaYrv7XvZw \n",
    "提取码：2321 \n",
    "复制这段内容后打开百度网盘手机App，操作更方便哦--来自百度网盘超级会员V1的分享"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 306
    },
    "colab_type": "code",
    "id": "NyPqdFSzUW8F",
    "outputId": "4a0b47bf-c222-4099-a124-65a037c024db"
   },
   "outputs": [],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "_9tHU5two_TW"
   },
   "outputs": [],
   "source": [
    "!pip install -qq arff2pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "XRYTtmMDtLuG"
   },
   "outputs": [],
   "source": [
    "!pip install -q -U watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-ugDZzk5bSju"
   },
   "outputs": [],
   "source": [
    "!pip install -qq -U pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 143
    },
    "colab_type": "code",
    "id": "NgNwOV2jtODd",
    "outputId": "e637029b-b066-41d2-935c-a6b5b93bf8a1"
   },
   "outputs": [],
   "source": [
    "%reload_ext watermark\n",
    "%watermark -v -p numpy,pandas,torch,arff2pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3RY_N3gOmfDi"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<torch._C.Generator at 0x1b6001b3ad0>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "import copy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pylab import rcParams\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from torch import nn, optim\n",
    "\n",
    "import torch.nn.functional as F\n",
    "from arff2pandas import a2p\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "\n",
    "sns.set(style='whitegrid', palette='muted', font_scale=1.2)\n",
    "\n",
    "HAPPY_COLORS_PALETTE = [\"#01BEFE\", \"#FFDD00\", \"#FF7D00\", \"#FF006D\", \"#ADFF02\", \"#8F00FF\"]\n",
    "\n",
    "sns.set_palette(sns.color_palette(HAPPY_COLORS_PALETTE))\n",
    "\n",
    "rcParams['figure.figsize'] = 12, 8\n",
    "\n",
    "RANDOM_SEED = 42\n",
    "np.random.seed(RANDOM_SEED)\n",
    "torch.manual_seed(RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "RN0e4KktjE88"
   },
   "source": [
    "In this tutorial, you'll learn how to detect anomalies in Time Series data using an LSTM Autoencoder. You're going to use real-world ECG data from a single patient with heart disease to detect abnormal hearbeats.\n",
    "\n",
    "- [Read the tutorial](https://www.curiousily.com/posts/time-series-anomaly-detection-using-lstm-autoencoder-with-pytorch-in-python/)\n",
    "- [Run the notebook in your browser (Google Colab)](https://colab.research.google.com/drive/1_J2MrBSvsJfOcVmYAN2-WSp36BtsFZCa)\n",
    "- [Read the Getting Things Done with Pytorch book](https://github.com/curiousily/Getting-Things-Done-with-Pytorch)\n",
    "\n",
    "By the end of this tutorial, you'll learn how to:\n",
    "\n",
    "- Prepare a dataset for Anomaly Detection from Time Series Data\n",
    "- Build an LSTM Autoencoder with PyTorch\n",
    "- Train and evaluate your model\n",
    "- Choose a threshold for anomaly detection\n",
    "- Classify unseen examples as normal or anomaly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ZnW3JsIFW_Yw"
   },
   "source": [
    "## Data\n",
    "\n",
    "\n",
    "\n",
    "The [dataset](http://timeseriesclassification.com/description.php?Dataset=ECG5000) contains 5,000 Time Series examples (obtained with ECG) with 140 timesteps. Each sequence corresponds to a single heartbeat from a single patient with congestive heart failure.\n",
    "\n",
    "> An electrocardiogram (ECG or EKG) is a test that checks how your heart is functioning by measuring the electrical activity of the heart. With each heart beat, an electrical impulse (or wave) travels through your heart. This wave causes the muscle to squeeze and pump blood from the heart. [Source](https://www.heartandstroke.ca/heart/tests/electrocardiogram)\n",
    "\n",
    "We have 5 types of hearbeats (classes):\n",
    "\n",
    "- Normal (N) \n",
    "- R-on-T Premature Ventricular Contraction (R-on-T PVC)\n",
    "- Premature Ventricular Contraction (PVC)\n",
    "- Supra-ventricular Premature or Ectopic Beat (SP or EB) \n",
    "- Unclassified Beat (UB).\n",
    "\n",
    "> Assuming a healthy heart and a typical rate of 70 to 75 beats per minute, each cardiac cycle, or heartbeat, takes about 0.8 seconds to complete the cycle.\n",
    "Frequency: 60–100 per minute (Humans)\n",
    "Duration: 0.6–1 second (Humans) [Source](https://en.wikipedia.org/wiki/Cardiac_cycle)\n",
    "\n",
    "The dataset is available on my Google Drive. Let's get it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 85
    },
    "colab_type": "code",
    "id": "dDlfeY2VAYdU",
    "outputId": "4f4b9224-ff7a-4c3a-ec3b-9eed064e0d52"
   },
   "outputs": [],
   "source": [
    "!gdown --id 16MIleqoIr1vYxlGk4GKnGmrsCPuWkkpT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "L_gYlNi2AaOK"
   },
   "outputs": [],
   "source": [
    "!unzip -qq ECG5000.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "DFWsBcdWjDkU"
   },
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "iVrX_m4CBAD6"
   },
   "source": [
    "The data comes in multiple formats. We'll load the `arff` files into Pandas data frames:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "sh_8XjtEBVYq"
   },
   "outputs": [],
   "source": [
    "with open('./ECG5000/ECG5000_TRAIN.arff') as f:\n",
    "  train = a2p.load(f)\n",
    "\n",
    "with open('./ECG5000/ECG5000_TEST.arff') as f:\n",
    "  test = a2p.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "UDtaZ2uTCG11"
   },
   "source": [
    "We'll combine the training and test data into a single data frame. This will give us more data to train our Autoencoder. We'll also shuffle it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "tAyxwvbB5-9o",
    "outputId": "7c69e8d9-7b80-436c-8dea-16109169fc83"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 141)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = train.append(test)\n",
    "df = df.sample(frac=1.0)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 253
    },
    "colab_type": "code",
    "id": "KpkkVdrLCSAs",
    "outputId": "9dc73fde-a213-47f4-8b8b-f55fbf3c1dc1"
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>att1@NUMERIC</th>\n",
       "      <th>att2@NUMERIC</th>\n",
       "      <th>att3@NUMERIC</th>\n",
       "      <th>att4@NUMERIC</th>\n",
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       "      <td>-4.254399</td>\n",
       "      <td>-4.162834</td>\n",
       "      <td>-3.822570</td>\n",
       "      <td>-3.003609</td>\n",
       "      <td>-1.799773</td>\n",
       "      <td>-1.500033</td>\n",
       "      <td>-1.025095</td>\n",
       "      <td>...</td>\n",
       "      <td>0.945178</td>\n",
       "      <td>1.275588</td>\n",
       "      <td>1.617218</td>\n",
       "      <td>1.580279</td>\n",
       "      <td>1.306195</td>\n",
       "      <td>1.351674</td>\n",
       "      <td>1.915517</td>\n",
       "      <td>1.672103</td>\n",
       "      <td>-1.039932</td>\n",
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       "      <td>-1.998602</td>\n",
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       "      <td>-4.267091</td>\n",
       "      <td>-4.256133</td>\n",
       "      <td>-3.515288</td>\n",
       "      <td>-2.554540</td>\n",
       "      <td>-1.699639</td>\n",
       "      <td>-1.566366</td>\n",
       "      <td>-1.038815</td>\n",
       "      <td>-0.425483</td>\n",
       "      <td>...</td>\n",
       "      <td>1.008577</td>\n",
       "      <td>1.024698</td>\n",
       "      <td>1.051141</td>\n",
       "      <td>1.015352</td>\n",
       "      <td>0.988475</td>\n",
       "      <td>1.050191</td>\n",
       "      <td>1.089509</td>\n",
       "      <td>1.465382</td>\n",
       "      <td>0.799517</td>\n",
       "      <td>1</td>\n",
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       "      <td>-1.187772</td>\n",
       "      <td>-3.365038</td>\n",
       "      <td>-3.695653</td>\n",
       "      <td>-4.094781</td>\n",
       "      <td>-3.992549</td>\n",
       "      <td>-3.425381</td>\n",
       "      <td>-2.057643</td>\n",
       "      <td>-1.277729</td>\n",
       "      <td>-1.307397</td>\n",
       "      <td>-0.623098</td>\n",
       "      <td>...</td>\n",
       "      <td>1.085007</td>\n",
       "      <td>1.467196</td>\n",
       "      <td>1.413850</td>\n",
       "      <td>1.283822</td>\n",
       "      <td>0.923126</td>\n",
       "      <td>0.759235</td>\n",
       "      <td>0.932364</td>\n",
       "      <td>1.216265</td>\n",
       "      <td>-0.824489</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>0.604969</td>\n",
       "      <td>-1.671363</td>\n",
       "      <td>-3.236131</td>\n",
       "      <td>-3.966465</td>\n",
       "      <td>-4.067820</td>\n",
       "      <td>-3.551897</td>\n",
       "      <td>-2.582864</td>\n",
       "      <td>-1.804755</td>\n",
       "      <td>-1.688151</td>\n",
       "      <td>-1.025897</td>\n",
       "      <td>...</td>\n",
       "      <td>0.545222</td>\n",
       "      <td>0.649363</td>\n",
       "      <td>0.986846</td>\n",
       "      <td>1.234495</td>\n",
       "      <td>1.280039</td>\n",
       "      <td>1.215985</td>\n",
       "      <td>1.617971</td>\n",
       "      <td>2.196543</td>\n",
       "      <td>0.023843</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>-1.197203</td>\n",
       "      <td>-3.270123</td>\n",
       "      <td>-3.778723</td>\n",
       "      <td>-3.977574</td>\n",
       "      <td>-3.405060</td>\n",
       "      <td>-2.392634</td>\n",
       "      <td>-1.726322</td>\n",
       "      <td>-1.572748</td>\n",
       "      <td>-0.920075</td>\n",
       "      <td>-0.388731</td>\n",
       "      <td>...</td>\n",
       "      <td>0.828168</td>\n",
       "      <td>0.914338</td>\n",
       "      <td>1.063077</td>\n",
       "      <td>1.393479</td>\n",
       "      <td>1.469756</td>\n",
       "      <td>1.392281</td>\n",
       "      <td>1.144732</td>\n",
       "      <td>1.668263</td>\n",
       "      <td>1.734676</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 141 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      att1@NUMERIC  att2@NUMERIC  att3@NUMERIC  att4@NUMERIC  att5@NUMERIC  \\\n",
       "1001      1.469756     -1.048520     -3.394356     -4.254399     -4.162834   \n",
       "2086     -1.998602     -3.770552     -4.267091     -4.256133     -3.515288   \n",
       "2153     -1.187772     -3.365038     -3.695653     -4.094781     -3.992549   \n",
       "555       0.604969     -1.671363     -3.236131     -3.966465     -4.067820   \n",
       "205      -1.197203     -3.270123     -3.778723     -3.977574     -3.405060   \n",
       "\n",
       "      att6@NUMERIC  att7@NUMERIC  att8@NUMERIC  att9@NUMERIC  att10@NUMERIC  \\\n",
       "1001     -3.822570     -3.003609     -1.799773     -1.500033      -1.025095   \n",
       "2086     -2.554540     -1.699639     -1.566366     -1.038815      -0.425483   \n",
       "2153     -3.425381     -2.057643     -1.277729     -1.307397      -0.623098   \n",
       "555      -3.551897     -2.582864     -1.804755     -1.688151      -1.025897   \n",
       "205      -2.392634     -1.726322     -1.572748     -0.920075      -0.388731   \n",
       "\n",
       "      ...  att132@NUMERIC  att133@NUMERIC  att134@NUMERIC  att135@NUMERIC  \\\n",
       "1001  ...        0.945178        1.275588        1.617218        1.580279   \n",
       "2086  ...        1.008577        1.024698        1.051141        1.015352   \n",
       "2153  ...        1.085007        1.467196        1.413850        1.283822   \n",
       "555   ...        0.545222        0.649363        0.986846        1.234495   \n",
       "205   ...        0.828168        0.914338        1.063077        1.393479   \n",
       "\n",
       "      att136@NUMERIC  att137@NUMERIC  att138@NUMERIC  att139@NUMERIC  \\\n",
       "1001        1.306195        1.351674        1.915517        1.672103   \n",
       "2086        0.988475        1.050191        1.089509        1.465382   \n",
       "2153        0.923126        0.759235        0.932364        1.216265   \n",
       "555         1.280039        1.215985        1.617971        2.196543   \n",
       "205         1.469756        1.392281        1.144732        1.668263   \n",
       "\n",
       "      att140@NUMERIC  target@{1,2,3,4,5}  \n",
       "1001       -1.039932                   1  \n",
       "2086        0.799517                   1  \n",
       "2153       -0.824489                   1  \n",
       "555         0.023843                   1  \n",
       "205         1.734676                   1  \n",
       "\n",
       "[5 rows x 141 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "K_f7F-ipCZNH"
   },
   "source": [
    "We have 5,000 examples. Each row represents a single heartbeat record. Let's name the possible classes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9fcKHB5rcDcm"
   },
   "outputs": [],
   "source": [
    "CLASS_NORMAL = 1\n",
    "\n",
    "class_names = ['Normal','R on T','PVC','SP','UB']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "TFWOyTF3CpgT"
   },
   "source": [
    "Next, we'll rename the last column to `target`, so its easier to reference it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6bfjzgJ7YEww"
   },
   "outputs": [],
   "source": [
    "new_columns = list(df.columns)\n",
    "new_columns[-1] = 'target'\n",
    "df.columns = new_columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nlf5aVLnjRCz"
   },
   "source": [
    "## Exploratory Data Analysis\n",
    "\n",
    "Let's check how many examples for each heartbeat class do we have:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 119
    },
    "colab_type": "code",
    "id": "QBxuqD1cdd2y",
    "outputId": "0746b248-5074-42b1-ce48-a69dce46322e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    2919\n",
       "2    1767\n",
       "4     194\n",
       "3      96\n",
       "5      24\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.target.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2EZVZYCsQKXV"
   },
   "source": [
    "Let's plot the results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 506
    },
    "colab_type": "code",
    "id": "wn4s427Sf4eb",
    "outputId": "e2577373-8571-452d-b41c-6b8659ea15d3"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\programdata\\anaconda3\\envs\\cdr\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 488,
       "width": 740
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(df.target)\n",
    "ax.set_xticklabels(class_names);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "e2m55fTyRNIf"
   },
   "source": [
    "The normal class, has by far, the most examples. This is great because we'll use it to train our model.\n",
    "\n",
    "Let's have a look at an averaged (smoothed out with one standard deviation on top and bottom of it) Time Series for each class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "UVvG0vhiU-ju"
   },
   "outputs": [],
   "source": [
    "def plot_time_series_class(data, class_name, ax, n_steps=10):\n",
    "  time_series_df = pd.DataFrame(data)\n",
    "\n",
    "  smooth_path = time_series_df.rolling(n_steps).mean()\n",
    "  path_deviation = 2 * time_series_df.rolling(n_steps).std()\n",
    "\n",
    "  under_line = (smooth_path - path_deviation)[0]\n",
    "  over_line = (smooth_path + path_deviation)[0]\n",
    "\n",
    "  ax.plot(smooth_path, linewidth=2)\n",
    "  ax.fill_between(\n",
    "    path_deviation.index,\n",
    "    under_line,\n",
    "    over_line,\n",
    "    alpha=.125\n",
    "  )\n",
    "  ax.set_title(class_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 596
    },
    "colab_type": "code",
    "id": "xHaslHZ8JMSk",
    "outputId": "b394badd-9919-4aa7-ee69-8b7f9174484f"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1008x576 with 5 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 991
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "classes = df.target.unique()\n",
    "\n",
    "fig, axs = plt.subplots(\n",
    "  nrows=len(classes) // 3 + 1,\n",
    "  ncols=3,\n",
    "  sharey=True,\n",
    "  figsize=(14, 8)\n",
    ")\n",
    "\n",
    "for i, cls in enumerate(classes):\n",
    "  ax = axs.flat[i]\n",
    "  data = df[df.target == cls] \\\n",
    "    .drop(labels='target', axis=1) \\\n",
    "    .mean(axis=0) \\\n",
    "    .to_numpy()\n",
    "  plot_time_series_class(data, class_names[i], ax)\n",
    "\n",
    "fig.delaxes(axs.flat[-1])\n",
    "fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jDt33QoDTUIb"
   },
   "source": [
    "It is very good that the normal class has a distinctly different pattern than all other classes. Maybe our model will be able to detect anomalies?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "gJRQl1p0Q57K"
   },
   "source": [
    "## LSTM Autoencoder\n",
    "\n",
    "The [Autoencoder's](https://en.wikipedia.org/wiki/Autoencoder) job is to get some input data, pass it through the model, and obtain a reconstruction of the input. The reconstruction should match the input as much as possible. The trick is to use a small number of parameters, so your model learns a compressed representation of the data.\n",
    "\n",
    "In a sense, Autoencoders try to learn only the most important features (compressed version) of the data. Here, we'll have a look at how to feed Time Series data to an Autoencoder. We'll use a couple of LSTM layers (hence the LSTM Autoencoder) to capture the temporal dependencies of the data.\n",
    "\n",
    "To classify a sequence as normal or an anomaly, we'll pick a threshold above which a heartbeat is considered abnormal.\n",
    "\n",
    "### Reconstruction Loss\n",
    "\n",
    "When training an Autoencoder, the objective is to reconstruct the input as best as possible. This is done by minimizing a loss function (just like in supervised learning). This function is known as *reconstruction loss*. Cross-entropy loss and Mean squared error are common examples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "eFZ3o2F8eUaW"
   },
   "source": [
    "## Anomaly Detection in ECG Data\n",
    "\n",
    "We'll use normal heartbeats as training data for our model and record the *reconstruction loss*. But first, we need to prepare the data:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QGKKj6fgUV_a"
   },
   "source": [
    "### Data Preprocessing\n",
    "\n",
    "Let's get all normal heartbeats and drop the target (class) column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "NA0k8mTijyh-",
    "outputId": "53f14ed3-c11a-4475-9cb4-fa928598a6fe"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2919, 140)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normal_df = df[df.target == str(CLASS_NORMAL)].drop(labels='target', axis=1)\n",
    "normal_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "PRCZ7uviaI1Y"
   },
   "source": [
    "We'll merge all other classes and mark them as anomalies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "xpdXIaDJstD3",
    "outputId": "c65ca508-0bb1-4de4-90c6-9fbad1eda682"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2081, 140)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anomaly_df = df[df.target != str(CLASS_NORMAL)].drop(labels='target', axis=1)\n",
    "anomaly_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ILcJJwpda15z"
   },
   "source": [
    "We'll split the normal examples into train, validation and test sets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "n7kJ7C3IFWIV"
   },
   "outputs": [],
   "source": [
    "train_df, val_df = train_test_split(\n",
    "  normal_df,\n",
    "  test_size=0.15,\n",
    "  random_state=RANDOM_SEED\n",
    ")\n",
    "\n",
    "val_df, test_df = train_test_split(\n",
    "  val_df,\n",
    "  test_size=0.33, \n",
    "  random_state=RANDOM_SEED\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nWasRQ1dcAp4"
   },
   "source": [
    "We need to convert our examples into tensors, so we can use them to train our Autoencoder. Let's write a helper function for that:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "h2kKiIIeBwKb"
   },
   "outputs": [],
   "source": [
    "def create_dataset(df):\n",
    "\n",
    "  sequences = df.astype(np.float32).to_numpy().tolist()\n",
    "\n",
    "  dataset = [torch.tensor(s).unsqueeze(1).float() for s in sequences]\n",
    "\n",
    "  n_seq, seq_len, n_features = torch.stack(dataset).shape\n",
    "\n",
    "  return dataset, seq_len, n_features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WT4BekX2g4L_"
   },
   "source": [
    "Each Time Series will be converted to a 2D Tensor in the shape *sequence length* x *number of features* (140x1 in our case).\n",
    "\n",
    "Let's create some datasets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Rb1UeUwbjmMD"
   },
   "outputs": [],
   "source": [
    "train_dataset, seq_len, n_features = create_dataset(train_df)\n",
    "val_dataset, _, _ = create_dataset(val_df)\n",
    "test_normal_dataset, _, _ = create_dataset(test_df)\n",
    "test_anomaly_dataset, _, _ = create_dataset(anomaly_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "gLe1hXvRUSnA"
   },
   "source": [
    "### LSTM Autoencoder\n",
    "\n",
    "![Autoencoder](https://lilianweng.github.io/lil-log/assets/images/autoencoder-architecture.png)\n",
    "*Sample Autoencoder Architecture [Image Source](https://lilianweng.github.io/lil-log/2018/08/12/from-autoencoder-to-beta-vae.html)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "SgZpEEzfqxNp"
   },
   "source": [
    "The general Autoencoder architecture consists of two components. An *Encoder* that compresses the input and a *Decoder* that tries to reconstruct it.\n",
    "\n",
    "We'll use the LSTM Autoencoder from this [GitHub repo](https://github.com/shobrook/sequitur) with some small tweaks. Our model's job is to reconstruct Time Series data. Let's start with the *Encoder*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "X_f1WaTJhiXy"
   },
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, n_features, embedding_dim=64):\n",
    "    super(Encoder, self).__init__()\n",
    "\n",
    "    self.seq_len, self.n_features = seq_len, n_features\n",
    "    self.embedding_dim, self.hidden_dim = embedding_dim, 2 * embedding_dim\n",
    "\n",
    "    self.rnn1 = nn.LSTM(\n",
    "      input_size=n_features,\n",
    "      hidden_size=self.hidden_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "    \n",
    "    self.rnn2 = nn.LSTM(\n",
    "      input_size=self.hidden_dim,\n",
    "      hidden_size=embedding_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = x.reshape((1, self.seq_len, self.n_features))\n",
    "\n",
    "    x, (_, _) = self.rnn1(x)\n",
    "    x, (hidden_n, _) = self.rnn2(x)\n",
    "\n",
    "    return hidden_n.reshape((self.n_features, self.embedding_dim))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DysklqYmxTib"
   },
   "source": [
    "The *Encoder* uses two LSTM layers to compress the Time Series data input.\n",
    "\n",
    "Next, we'll decode the compressed representation using a *Decoder*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "AdEft7l3hk6S"
   },
   "outputs": [],
   "source": [
    "class Decoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, input_dim=64, n_features=1):\n",
    "    super(Decoder, self).__init__()\n",
    "\n",
    "    self.seq_len, self.input_dim = seq_len, input_dim\n",
    "    self.hidden_dim, self.n_features = 2 * input_dim, n_features\n",
    "\n",
    "    self.rnn1 = nn.LSTM(\n",
    "      input_size=input_dim,\n",
    "      hidden_size=input_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.rnn2 = nn.LSTM(\n",
    "      input_size=input_dim,\n",
    "      hidden_size=self.hidden_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.output_layer = nn.Linear(self.hidden_dim, n_features)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = x.repeat(self.seq_len, self.n_features)\n",
    "    x = x.reshape((self.n_features, self.seq_len, self.input_dim))\n",
    "\n",
    "    x, (hidden_n, cell_n) = self.rnn1(x)\n",
    "    x, (hidden_n, cell_n) = self.rnn2(x)\n",
    "    x = x.reshape((self.seq_len, self.hidden_dim))\n",
    "\n",
    "    return self.output_layer(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WUMb2NGZyTmi"
   },
   "source": [
    "Our Decoder contains two LSTM layers and an output layer that gives the final reconstruction.\n",
    "\n",
    "Time to wrap everything into an easy to use module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vgUChGd_A-Bv"
   },
   "outputs": [],
   "source": [
    "class RecurrentAutoencoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, n_features, embedding_dim=64):\n",
    "    super(RecurrentAutoencoder, self).__init__()\n",
    "\n",
    "    self.encoder = Encoder(seq_len, n_features, embedding_dim).to(device)\n",
    "    self.decoder = Decoder(seq_len, embedding_dim, n_features).to(device)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.encoder(x)\n",
    "    x = self.decoder(x)\n",
    "\n",
    "    return x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zT6Cwq78sOrI"
   },
   "source": [
    "Our Autoencoder passes the input through the Encoder and Decoder. Let's create an instance of it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Mo0rvFqRBgnu"
   },
   "outputs": [],
   "source": [
    "model = RecurrentAutoencoder(seq_len, n_features, 128)\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "n1ENnubQdnJN"
   },
   "source": [
    "## Training\n",
    "\n",
    "Let's write a helper function for our training process:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ryEmRvl9DfEj"
   },
   "outputs": [],
   "source": [
    "def train_model(model, train_dataset, val_dataset, n_epochs):\n",
    "  optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)\n",
    "  criterion = nn.L1Loss(reduction='sum').to(device)\n",
    "  history = dict(train=[], val=[])\n",
    "\n",
    "  best_model_wts = copy.deepcopy(model.state_dict())\n",
    "  best_loss = 10000.0\n",
    "  \n",
    "  for epoch in range(1, n_epochs + 1):\n",
    "    model = model.train()\n",
    "\n",
    "    train_losses = []\n",
    "    for seq_true in train_dataset:\n",
    "      optimizer.zero_grad()\n",
    "\n",
    "      seq_true = seq_true.to(device)\n",
    "      seq_pred = model(seq_true)\n",
    "\n",
    "      loss = criterion(seq_pred, seq_true)\n",
    "\n",
    "      loss.backward()\n",
    "      optimizer.step()\n",
    "\n",
    "      train_losses.append(loss.item())\n",
    "\n",
    "    val_losses = []\n",
    "    model = model.eval()\n",
    "    with torch.no_grad():\n",
    "      for seq_true in val_dataset:\n",
    "\n",
    "        seq_true = seq_true.to(device)\n",
    "        seq_pred = model(seq_true)\n",
    "\n",
    "        loss = criterion(seq_pred, seq_true)\n",
    "        val_losses.append(loss.item())\n",
    "\n",
    "    train_loss = np.mean(train_losses)\n",
    "    val_loss = np.mean(val_losses)\n",
    "\n",
    "    history['train'].append(train_loss)\n",
    "    history['val'].append(val_loss)\n",
    "\n",
    "    if val_loss < best_loss:\n",
    "      best_loss = val_loss\n",
    "      best_model_wts = copy.deepcopy(model.state_dict())\n",
    "\n",
    "    print(f'Epoch {epoch}: train loss {train_loss} val loss {val_loss}')\n",
    "\n",
    "  model.load_state_dict(best_model_wts)\n",
    "  return model.eval(), history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7iWQrzV1ASpW"
   },
   "source": [
    "At each epoch, the training process feeds our model with all training examples and evaluates the performance on the validation set. Note that we're using a batch size of 1 (our model sees only 1 sequence at a time). We also record the training and validation set losses during the process.\n",
    "\n",
    "Note that we're minimizing the [L1Loss](https://pytorch.org/docs/stable/nn.html#l1loss), which measures the MAE (mean absolute error). Why? The reconstructions seem to be better than with MSE (mean squared error).\n",
    "\n",
    "We'll get the version of the model with the smallest validation error. Let's do some training:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "saamYyUsHdw0",
    "outputId": "811c91c2-de6e-4215-f331-af9e33799c18"
   },
   "outputs": [],
   "source": [
    "model, history = train_model(\n",
    "  model, \n",
    "  train_dataset, \n",
    "  val_dataset, \n",
    "  n_epochs=150\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 523
    },
    "colab_type": "code",
    "id": "uztvlmNkQSUE",
    "outputId": "48c10c3b-55a8-4513-b263-3531fc6b51fd"
   },
   "outputs": [],
   "source": [
    "ax = plt.figure().gca()\n",
    "\n",
    "ax.plot(history['train'])\n",
    "ax.plot(history['val'])\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend(['train', 'test'])\n",
    "plt.title('Loss over training epochs')\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "X2IGZFBEVJjq"
   },
   "source": [
    "Our model converged quite well. Seems like we might've needed a larger validation set to smoothen the results, but that'll do for now."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pmoaNSERn09J"
   },
   "source": [
    "## Saving the model\n",
    "\n",
    "Let's store the model for later use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tLC_ClIpnv9H"
   },
   "outputs": [],
   "source": [
    "MODEL_PATH = 'model1.pth'\n",
    "\n",
    "torch.save(model, MODEL_PATH)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "E6q7H7-ea-Lb"
   },
   "source": [
    "Uncomment the next lines, if you want to download and load the pre-trained model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "e4Hxo-Xftiej"
   },
   "outputs": [],
   "source": [
    "# !gdown --id 1jEYx5wGsb7Ix8cZAw3l5p5pOwHs3_I9A\n",
    "model = torch.load('model1.pth')\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "EwLujPFXT054"
   },
   "source": [
    "## Choosing a threshold\n",
    "\n",
    "With our model at hand, we can have a look at the reconstruction error on the training set. Let's start by writing a helper function to get predictions from our model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "AAhYZy9bRNLM"
   },
   "outputs": [],
   "source": [
    "def predict(model, dataset):\n",
    "  predictions, losses = [], []\n",
    "  criterion = nn.L1Loss(reduction='sum').to(device)\n",
    "  with torch.no_grad():\n",
    "    model = model.eval()\n",
    "    for seq_true in dataset:\n",
    "      seq_true = seq_true.to(device)\n",
    "      seq_pred = model(seq_true)\n",
    "\n",
    "      loss = criterion(seq_pred, seq_true)\n",
    "\n",
    "      predictions.append(seq_pred.cpu().numpy().flatten())\n",
    "      losses.append(loss.item())\n",
    "  return predictions, losses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "wVnNtIreDXf5"
   },
   "source": [
    "Our function goes through each example in the dataset and records the predictions and losses. Let's get the losses and have a look at them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 488
    },
    "colab_type": "code",
    "id": "pvn141SDS33P",
    "outputId": "f6d9f42f-489e-4268-fc3e-368859fffa43"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\programdata\\anaconda3\\envs\\cdr\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 470,
       "width": 744
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, losses = predict(model, train_dataset)\n",
    "\n",
    "sns.distplot(losses, bins=50, kde=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "MjSCtDZ8_xGB"
   },
   "outputs": [],
   "source": [
    "THRESHOLD = 20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "mw2dm631T4a5"
   },
   "source": [
    "## Evaluation\n",
    "\n",
    "Using the threshold, we can turn the problem into a simple binary classification task:\n",
    "\n",
    "- If the reconstruction loss for an example is below the threshold, we'll classify it as a *normal* heartbeat\n",
    "- Alternatively, if the loss is higher than the threshold, we'll classify it as an anomaly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "k94t9U3X7uVA"
   },
   "source": [
    "### Normal hearbeats\n",
    "\n",
    "Let's check how well our model does on normal heartbeats. We'll use the normal heartbeats from the test set (our model haven't seen those):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 488
    },
    "colab_type": "code",
    "id": "-z630B5v7Fid",
    "outputId": "38289be7-f326-4759-d1e3-4be4783e3060"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\programdata\\anaconda3\\envs\\cdr\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 470,
       "width": 737
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions, pred_losses = predict(model, test_normal_dataset)\n",
    "sns.distplot(pred_losses, bins=50, kde=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xCmzETkkLLvh"
   },
   "source": [
    "We'll count the correct predictions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "BR-hcvUP7OBt",
    "outputId": "9f7c7a5d-e130-483c-e3b9-526697bdf775"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct normal predictions: 136/145\n"
     ]
    }
   ],
   "source": [
    "correct = sum(l <= THRESHOLD for l in pred_losses)\n",
    "print(f'Correct normal predictions: {correct}/{len(test_normal_dataset)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "hYbH8iEz7wmh"
   },
   "source": [
    "### Anomalies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "hidyhcu6zC8-"
   },
   "source": [
    "We'll do the same with the anomaly examples, but their number is much higher. We'll get a subset that has the same size as the normal heartbeats:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "WJcg5DXWyiep"
   },
   "outputs": [],
   "source": [
    "anomaly_dataset = test_anomaly_dataset[:len(test_normal_dataset)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "gcBoplGU0hR8"
   },
   "source": [
    "Now we can take the predictions of our model for the subset of anomalies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 488
    },
    "colab_type": "code",
    "id": "tLCuS8oL7hG2",
    "outputId": "5944d102-7682-4524-eb8e-4eb025fb8669"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\programdata\\anaconda3\\envs\\cdr\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 470,
       "width": 744
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions, pred_losses = predict(model, anomaly_dataset)\n",
    "sns.distplot(pred_losses, bins=50, kde=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "EkgGXs4E06so"
   },
   "source": [
    "Finally, we can count the number of examples above the threshold (considered as anomalies):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "_NEUmDoM8M6q",
    "outputId": "389edfb6-3c88-4ec3-ed1e-63c386294ac1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct anomaly predictions: 144/145\n"
     ]
    }
   ],
   "source": [
    "correct = sum(l > THRESHOLD for l in pred_losses)\n",
    "print(f'Correct anomaly predictions: {correct}/{len(anomaly_dataset)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "v0PfwvTZ23_s"
   },
   "source": [
    "We have very good results. In the real world, you can tweak the threshold depending on what kind of errors you want to tolerate. In this case, you might want to have more false positives (normal heartbeats considered as anomalies) than false negatives (anomalies considered as normal)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "KrW0seHZ72Mu"
   },
   "source": [
    "#### Looking at Examples\n",
    "\n",
    "We can overlay the real and reconstructed Time Series values to see how close they are. We'll do it for some normal and anomaly cases:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "gBRWRk6WWdNC"
   },
   "outputs": [],
   "source": [
    "def plot_prediction(data, model, title, ax):\n",
    "  predictions, pred_losses = predict(model, [data])\n",
    "\n",
    "  ax.plot(data, label='true')\n",
    "  ax.plot(predictions[0], label='reconstructed')\n",
    "  ax.set_title(f'{title} (loss: {np.around(pred_losses[0], 2)})')\n",
    "  ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 596
    },
    "colab_type": "code",
    "id": "ZnN1K63BYomX",
    "outputId": "4918d7d6-88a3-4549-a994-736fa1969176",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1584x576 with 12 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 1567
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(\n",
    "  nrows=2,\n",
    "  ncols=6,\n",
    "  sharey=True,\n",
    "  sharex=True,\n",
    "  figsize=(22, 8)\n",
    ")\n",
    "\n",
    "for i, data in enumerate(test_normal_dataset[:6]):\n",
    "  plot_prediction(data, model, title='Normal', ax=axs[0, i])\n",
    "\n",
    "for i, data in enumerate(test_anomaly_dataset[:6]):\n",
    "  plot_prediction(data, model, title='Anomaly', ax=axs[1, i])\n",
    "\n",
    "fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "dC1-69KD2lQ0"
   },
   "source": [
    "## Summary\n",
    "\n",
    "In this tutorial, you learned how to create an LSTM Autoencoder with PyTorch and use it to detect heartbeat anomalies in ECG data.\n",
    "\n",
    "- [Read the tutorial](https://www.curiousily.com/posts/time-series-anomaly-detection-using-lstm-autoencoder-with-pytorch-in-python/)\n",
    "- [Run the notebook in your browser (Google Colab)](https://colab.research.google.com/drive/1_J2MrBSvsJfOcVmYAN2-WSp36BtsFZCa)\n",
    "- [Read the Getting Things Done with Pytorch book](https://github.com/curiousily/Getting-Things-Done-with-Pytorch)\n",
    "\n",
    "You learned how to:\n",
    "\n",
    "- Prepare a dataset for Anomaly Detection from Time Series Data\n",
    "- Build an LSTM Autoencoder with PyTorch\n",
    "- Train and evaluate your model\n",
    "- Choose a threshold for anomaly detection\n",
    "- Classify unseen examples as normal or anomaly\n",
    "\n",
    "While our Time Series data is univariate (we have only 1 feature), the code should work for multivariate datasets (multiple features) with little or no modification. Feel free to try it!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9icnPwTOW9RF"
   },
   "source": [
    "## References\n",
    "\n",
    "- [Sequitur - Recurrent Autoencoder (RAE)](https://github.com/shobrook/sequitur)\n",
    "- [Towards Never-Ending Learning from Time Series Streams](https://www.cs.ucr.edu/~eamonn/neverending.pdf)\n",
    "- [LSTM Autoencoder for Anomaly Detection](https://towardsdatascience.com/lstm-autoencoder-for-anomaly-detection-e1f4f2ee7ccf)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "06.time-series-anomaly-detection-ecg.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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}
